from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting("sklearnex", config="config.yml")
reporting.run()
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=brute.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.177 | 0.0 | -1 | 1 | NaN | NaN | 0.056 | 0.000 | 0.198 | 0.198 | See | See |
| 5 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 6.996 | 0.0 | -1 | 5 | NaN | 1.000 | 0.008 | 0.000 | 1.414 | 1.414 | See | See |
| 10 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.343 | 0.0 | 1 | 100 | NaN | 0.875 | 0.204 | 0.003 | 0.053 | 0.054 | See | See |
| 15 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.385 | 0.0 | -1 | 100 | NaN | NaN | 0.044 | 0.000 | 0.247 | 0.247 | See | See |
| 20 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.380 | 0.0 | 1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 15.596 | 15.802 | See | See |
| 25 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.424 | 0.0 | 1 | 1 | NaN | 0.975 | 0.059 | 0.002 | 0.182 | 0.182 | See | See |
| 30 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | NaN | 0.380 | 0.0 | -1 | 1 | NaN | NaN | 0.008 | 0.000 | 0.534 | 0.534 | See | See |
| 35 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.351 | 0.0 | -1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 6.486 | 6.590 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.870 | 0.018 | NaN | 0.000 | 0.017 | -1 | 1 | 0.663 | 0.687 | 0.160 | 0.000 | 105.415 | 105.415 | See | See |
| 2 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.826 | 0.036 | NaN | 0.000 | 0.002 | -1 | 1 | 0.663 | 1.000 | 0.008 | 0.000 | 224.732 | 224.759 | See | See |
| 3 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.313 | 0.006 | NaN | 0.000 | 0.313 | -1 | 1 | 1.000 | NaN | 0.043 | 0.000 | 7.227 | 7.227 | See | See |
| 4 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.024 | 0.004 | NaN | 0.000 | 0.024 | -1 | 1 | 1.000 | 0.742 | 0.163 | 0.006 | 0.144 | 0.144 | See | See |
| 6 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.947 | 0.022 | NaN | 0.000 | 0.017 | -1 | 5 | 0.757 | NaN | 0.043 | 0.000 | 390.949 | 390.949 | See | See |
| 7 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.793 | 0.086 | NaN | 0.000 | 0.003 | -1 | 5 | 0.757 | 0.875 | 0.199 | 0.002 | 14.047 | 14.048 | See | See |
| 8 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.280 | 0.008 | NaN | 0.000 | 0.280 | -1 | 5 | 1.000 | 0.000 | 0.008 | 0.000 | 34.240 | 34.244 | See | See |
| 9 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.024 | 0.003 | NaN | 0.000 | 0.024 | -1 | 5 | 1.000 | NaN | 0.043 | 0.000 | 0.558 | 0.558 | See | See |
| 11 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 15.111 | 0.020 | NaN | 0.000 | 0.015 | 1 | 100 | 0.882 | 0.000 | 0.009 | 0.001 | 1697.734 | 1703.140 | See | See |
| 12 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.855 | 0.003 | NaN | 0.000 | 0.002 | 1 | 100 | 0.882 | NaN | 0.043 | 0.000 | 42.671 | 42.671 | See | See |
| 13 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.270 | 0.005 | NaN | 0.000 | 0.270 | 1 | 100 | 1.000 | 0.742 | 0.163 | 0.001 | 1.661 | 1.661 | See | See |
| 14 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.019 | 0.000 | NaN | 0.000 | 0.019 | 1 | 100 | 1.000 | 1.000 | 0.008 | 0.000 | 2.333 | 2.333 | See | See |
| 16 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 15.088 | 0.114 | NaN | 0.000 | 0.015 | -1 | 100 | 0.882 | 0.687 | 0.162 | 0.002 | 93.065 | 93.073 | See | See |
| 17 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.675 | 0.053 | NaN | 0.000 | 0.003 | -1 | 100 | 0.882 | 1.000 | 0.008 | 0.000 | 328.250 | 328.302 | See | See |
| 18 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.277 | 0.007 | NaN | 0.000 | 0.277 | -1 | 100 | 1.000 | NaN | 0.008 | 0.000 | 35.406 | 35.406 | See | See |
| 19 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.024 | 0.002 | NaN | 0.000 | 0.024 | -1 | 100 | 1.000 | 0.967 | 0.026 | 0.001 | 0.930 | 0.930 | See | See |
| 21 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 15.079 | 0.024 | NaN | 0.000 | 0.015 | 1 | 5 | 0.757 | NaN | 0.008 | 0.000 | 1917.764 | 1917.764 | See | See |
| 22 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.846 | 0.004 | NaN | 0.000 | 0.002 | 1 | 5 | 0.757 | 0.974 | 0.027 | 0.001 | 68.700 | 68.770 | See | See |
| 23 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.273 | 0.008 | NaN | 0.000 | 0.273 | 1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 389.097 | 393.854 | See | See |
| 24 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.019 | 0.000 | NaN | 0.000 | 0.019 | 1 | 5 | 1.000 | NaN | 0.008 | 0.000 | 2.402 | 2.402 | See | See |
| 26 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 15.346 | 0.006 | NaN | 0.000 | 0.015 | 1 | 1 | 0.663 | 1.000 | 0.001 | 0.000 | 20102.780 | 20457.941 | See | See |
| 27 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.072 | 0.016 | NaN | 0.001 | 0.001 | 1 | 1 | 0.663 | NaN | 0.008 | 0.000 | 134.810 | 134.810 | See | See |
| 28 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.281 | 0.005 | NaN | 0.000 | 0.281 | 1 | 1 | 1.000 | 0.975 | 0.060 | 0.002 | 4.675 | 4.677 | See | See |
| 29 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.018 | 0.000 | NaN | 0.000 | 0.018 | 1 | 1 | 1.000 | 1.000 | 0.001 | 0.000 | 24.703 | 25.166 | See | See |
| 31 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 2 | 3.264 | 0.006 | NaN | 0.000 | 0.003 | -1 | 1 | 0.896 | 0.974 | 0.027 | 0.000 | 120.449 | 120.467 | See | See |
| 32 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 2 | 1.614 | 0.031 | NaN | 0.000 | 0.002 | -1 | 1 | 0.896 | 1.000 | 0.001 | 0.000 | 2238.463 | 2266.828 | See | See |
| 33 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 2 | 0.239 | 0.004 | NaN | 0.000 | 0.239 | -1 | 1 | 1.000 | NaN | 0.008 | 0.000 | 30.002 | 30.002 | See | See |
| 34 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 2 | 0.007 | 0.006 | NaN | 0.000 | 0.007 | -1 | 1 | 1.000 | 0.967 | 0.026 | 0.001 | 0.287 | 0.287 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=kd_tree.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 2.829 | 0.0 | NaN | 0.028 | 0.0 | -1 | 1 | NaN | NaN | 0.808 | 0.000 | 3.502 | 3.502 | See | See |
| 5 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.870 | 0.0 | NaN | 0.021 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 9688.849 | 10470.024 | See | See |
| 10 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.902 | 0.0 | NaN | 0.021 | 0.0 | 1 | 100 | NaN | 0.940 | 0.570 | 0.003 | 6.845 | 6.845 | See | See |
| 15 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.870 | 0.0 | NaN | 0.021 | 0.0 | -1 | 100 | NaN | NaN | 0.667 | 0.000 | 5.799 | 5.799 | See | See |
| 20 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.790 | 0.0 | NaN | 0.021 | 0.0 | 1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 34609.347 | 42517.341 | See | See |
| 25 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.882 | 0.0 | NaN | 0.021 | 0.0 | 1 | 1 | NaN | 0.917 | 0.005 | 0.000 | 835.278 | 836.913 | See | See |
| 30 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.005 | 0.0 | NaN | 0.003 | 0.0 | -1 | 1 | NaN | NaN | 0.004 | 0.000 | 1.200 | 1.200 | See | See |
| 35 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.001 | 0.0 | NaN | 0.018 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 8.766 | 10.807 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 115.150 | 0.000 | NaN | 0.000 | 0.115 | -1 | 1 | 0.929 | 0.910 | 0.105 | 0.002 | 1097.179 | 1097.332 | See | See |
| 2 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.432 | 0.002 | NaN | 0.000 | 0.000 | -1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1570.714 | 1698.667 | See | See |
| 3 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.557 | 0.070 | NaN | 0.000 | 2.557 | -1 | 1 | 1.000 | NaN | 0.702 | 0.000 | 3.644 | 3.644 | See | See |
| 4 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | -1 | 1 | 1.000 | 0.941 | 0.193 | 0.001 | 0.014 | 0.014 | See | See |
| 6 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 119.007 | 0.000 | NaN | 0.000 | 0.119 | -1 | 5 | 0.946 | NaN | 0.713 | 0.000 | 167.022 | 167.022 | See | See |
| 7 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.857 | 0.008 | NaN | 0.000 | 0.001 | -1 | 5 | 0.946 | 0.940 | 0.566 | 0.004 | 1.514 | 1.514 | See | See |
| 8 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.568 | 0.092 | NaN | 0.000 | 2.568 | -1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 3301.262 | 3458.716 | See | See |
| 9 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.000 | NaN | 0.000 | 0.003 | -1 | 5 | 1.000 | NaN | 0.695 | 0.000 | 0.005 | 0.005 | See | See |
| 11 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 122.545 | 0.000 | NaN | 0.000 | 0.123 | 1 | 100 | 0.951 | 1.000 | 0.001 | 0.000 | 159237.086 | 167697.056 | See | See |
| 12 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 4.883 | 0.016 | NaN | 0.000 | 0.005 | 1 | 100 | 0.951 | NaN | 0.679 | 0.000 | 7.194 | 7.194 | See | See |
| 13 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.554 | 0.052 | NaN | 0.000 | 2.554 | 1 | 100 | 1.000 | 0.941 | 0.194 | 0.002 | 13.135 | 13.136 | See | See |
| 14 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.004 | 0.000 | NaN | 0.000 | 0.004 | 1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 9.369 | 9.972 | See | See |
| 16 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 129.302 | 0.000 | NaN | 0.000 | 0.129 | -1 | 100 | 0.951 | 0.910 | 0.106 | 0.000 | 1220.954 | 1220.968 | See | See |
| 17 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 2.900 | 0.031 | NaN | 0.000 | 0.003 | -1 | 100 | 0.951 | 1.000 | 0.000 | 0.000 | 10941.527 | 12036.558 | See | See |
| 18 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.567 | 0.100 | NaN | 0.000 | 2.567 | -1 | 100 | 1.000 | NaN | 0.001 | 0.000 | 2613.422 | 2613.422 | See | See |
| 19 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | NaN | 0.000 | 0.005 | -1 | 100 | 1.000 | 0.879 | 0.000 | 0.000 | 11.207 | 11.569 | See | See |
| 21 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 136.416 | 0.000 | NaN | 0.000 | 0.136 | 1 | 5 | 0.946 | NaN | 0.003 | 0.000 | 52692.401 | 52692.401 | See | See |
| 22 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 1.459 | 0.005 | NaN | 0.000 | 0.001 | 1 | 5 | 0.946 | 0.905 | 0.001 | 0.000 | 1955.772 | 1981.577 | See | See |
| 23 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.559 | 0.062 | NaN | 0.000 | 2.559 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 23325.247 | 29438.933 | See | See |
| 24 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 5 | 1.000 | NaN | 0.005 | 0.000 | 0.323 | 0.323 | See | See |
| 26 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 134.368 | 0.000 | NaN | 0.000 | 0.134 | 1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1161139.318 | 1390970.532 | See | See |
| 27 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.784 | 0.004 | NaN | 0.000 | 0.001 | 1 | 1 | 0.929 | NaN | 0.011 | 0.000 | 70.258 | 70.258 | See | See |
| 28 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.587 | 0.121 | NaN | 0.000 | 2.587 | 1 | 1 | 1.000 | 0.917 | 0.005 | 0.000 | 545.121 | 546.532 | See | See |
| 29 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 8.247 | 10.027 | See | See |
| 31 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1000 | 2 | 0.038 | 0.000 | NaN | 0.000 | 0.000 | -1 | 1 | 0.891 | 0.905 | 0.001 | 0.000 | 49.264 | 50.087 | See | See |
| 32 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1000 | 2 | 0.021 | 0.001 | NaN | 0.001 | 0.000 | -1 | 1 | 0.891 | 1.000 | 0.000 | 0.000 | 197.719 | 240.653 | See | See |
| 33 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1 | 2 | 0.005 | 0.000 | NaN | 0.000 | 0.005 | -1 | 1 | 1.000 | NaN | 0.008 | 0.000 | 0.671 | 0.671 | See | See |
| 34 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | -1 | 1 | 1.000 | 0.879 | 0.000 | 0.000 | 5.124 | 5.289 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.763 | 0.0 | 30 | 0.021 | 0.0 | random | NaN | 30 | NaN | 0.394 | 0.0 | 1.937 | 1.937 | See | See |
| 3 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.555 | 0.0 | 30 | 0.029 | 0.0 | k-means++ | NaN | 30 | NaN | 0.413 | 0.0 | 1.344 | 1.344 | See | See |
| 6 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 5.786 | 0.0 | 30 | 0.138 | 0.0 | random | NaN | 30 | NaN | 2.515 | 0.0 | 2.301 | 2.301 | See | See |
| 9 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 5.550 | 0.0 | 30 | 0.144 | 0.0 | k-means++ | NaN | 30 | NaN | 2.579 | 0.0 | 2.152 | 2.152 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | 0.011 | 0.000 | random | 0.000 | 30 | 0.001 | 0.0 | 0.0 | 9.487 | 11.110 | See | See |
| 2 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | 0.000 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.422 | 13.460 | See | See |
| 4 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | 0.011 | 0.000 | k-means++ | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 10.194 | 11.774 | See | See |
| 5 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | 0.000 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.307 | 13.384 | See | See |
| 7 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | 0.495 | 0.000 | random | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 4.674 | 5.186 | See | See |
| 8 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | 0.001 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.895 | 13.133 | See | See |
| 10 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | 0.455 | 0.000 | k-means++ | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 6.801 | 7.395 | See | See |
| 11 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | 0.001 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 11.750 | 14.168 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.075 | 0.0 | 20 | 0.002 | 0.0 | random | NaN | 20 | NaN | 0.638 | 0.0 | 0.118 | 0.118 | See | See |
| 3 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.209 | 0.0 | 20 | 0.001 | 0.0 | k-means++ | NaN | 20 | NaN | 0.081 | 0.0 | 2.588 | 2.588 | See | See |
| 6 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.198 | 0.0 | 20 | 0.040 | 0.0 | random | NaN | 20 | NaN | 0.116 | 0.0 | 1.702 | 1.702 | See | See |
| 9 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.591 | 0.0 | 20 | 0.014 | 0.0 | k-means++ | NaN | 20 | NaN | 0.303 | 0.0 | 1.949 | 1.949 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.002 | 0.000 | 20 | 0.009 | 0.000 | random | 0.002 | 20 | 0.001 | 0.001 | 0.001 | 2.151 | 3.256 | See | See |
| 2 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.001 | 0.000 | 20 | 0.000 | 0.001 | random | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 10.449 | 12.088 | See | See |
| 4 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.002 | 0.000 | 20 | 0.009 | 0.000 | k-means++ | 0.002 | 20 | 0.001 | 0.000 | 0.000 | 3.527 | 3.599 | See | See |
| 5 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.001 | 0.000 | 20 | 0.000 | 0.001 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 11.228 | 13.318 | See | See |
| 7 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.000 | 20 | 0.319 | 0.000 | random | 0.321 | 20 | 0.311 | 0.001 | 0.000 | 2.534 | 2.557 | See | See |
| 8 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.002 | 0.000 | 20 | 0.001 | 0.002 | random | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 9.261 | 10.332 | See | See |
| 10 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.019 | 0.043 | 20 | 0.042 | 0.000 | k-means++ | 0.381 | 20 | 0.286 | 0.001 | 0.000 | 19.273 | 19.460 | See | See |
| 11 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.012 | 0.030 | 20 | 0.000 | 0.012 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.000 | 72.839 | 83.579 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | False | fit | 1000000 | 1000000 | 100 | 10.907 | 0.0 | [20] | 0.073 | 0.000 | NaN | NaN | NaN | NaN | NaN | 1.718 | 0.0 | 6.349 | 6.349 | See | See |
| 3 | LogisticRegression | False | fit | 1000 | 1000 | 10000 | 4.149 | 0.0 | [26] | 0.019 | 0.004 | NaN | NaN | NaN | NaN | NaN | 0.756 | 0.0 | 5.489 | 5.489 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | [20] | 2.992 | 0.0 | NaN | NaN | NaN | NaN | 0.56 | 0.000 | 0.0 | 0.796 | 0.844 | See | See |
| 2 | LogisticRegression | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | [20] | 0.013 | 0.0 | NaN | NaN | NaN | NaN | 1.00 | 0.000 | 0.0 | 0.375 | 0.424 | See | See |
| 4 | LogisticRegression | False | predict | 1000 | 100 | 10000 | 0.002 | 0.0 | [26] | 4.751 | 0.0 | NaN | NaN | NaN | NaN | 0.35 | 0.003 | 0.0 | 0.559 | 0.561 | See | See |
| 5 | LogisticRegression | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | [26] | 0.829 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | 0.001 | 0.0 | 0.140 | 0.143 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | False | fit | 1000 | 1000 | 10000 | 0.175 | 0.0 | NaN | 0.457 | 0.0 | NaN | NaN | NaN | 0.171 | 0.0 | 1.023 | 1.023 | See | See |
| 3 | Ridge | False | fit | 1000000 | 1000000 | 100 | 1.425 | 0.0 | NaN | 0.562 | 0.0 | NaN | NaN | NaN | 0.825 | 0.0 | 1.726 | 1.726 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | False | predict | 1000 | 1000 | 10000 | 0.01 | 0.0 | NaN | 7.887 | 0.0 | NaN | NaN | 0.083 | 0.017 | 0.0 | 0.600 | 0.600 | See | See |
| 2 | Ridge | False | predict | 1000 | 1 | 10000 | 0.00 | 0.0 | NaN | 1.131 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.687 | 0.844 | See | See |
| 4 | Ridge | False | predict | 1000000 | 1000 | 100 | 0.00 | 0.0 | NaN | 4.962 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.0 | 0.727 | 0.820 | See | See |
| 5 | Ridge | False | predict | 1000000 | 1 | 100 | 0.00 | 0.0 | NaN | 0.014 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | 0.640 | 0.755 | See | See |